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» Discovering and using groups to improve personalized search
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ICIW
2008
IEEE
15 years 6 months ago
SEARCHY: An Agent to Personalize Search Results
—User’s behaviour in browsing sessions is a valuable source of information useful to analyze user interests and personalize the human-computer interaction during information se...
Ivan Marcialis, Emanuela De Vita
AAMAS
2010
Springer
14 years 12 months ago
Multi-goal economic search using dynamic search structures
This paper investigates cooperative search strategies for agents engaged in costly search in a complex environment. Searching cooperatively, several search goals can be satisfied w...
David Sarne, Efrat Manisterski, Sarit Kraus
NIPS
2007
15 years 1 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
JAR
2006
107views more  JAR 2006»
14 years 11 months ago
Attacking Group Protocols by Refuting Incorrect Inductive Conjectures
Automated tools for finding attacks on flawed security protocols often fail to quately with group protocols. This is because the abstractions made to improve performance on fixed ...
Graham Steel, Alan Bundy
INTERACT
2003
15 years 1 months ago
Desktop History: Time-based Interaction Summaries to Restore Context and Improve Data Access
The Desktop History Tool presents users with a summary of the data they worked with throughout past days and weeks. The user’s own interaction history provides an invaluable sel...
Sean Uberoi Kelly